What is NLP & How Does It Work? Natural language processing is a specialized branch of artificial intelligence that enables computers to understand and interpret human speech. The way it works is this: NLP systems pre-process data by first “cleaning” the dataset. This essentially involves organizing the data into a more logical format — for example, breaking down text into smaller semantic units , or “tokens,” in a process known as tokenization. Pre-processing simply makes the dataset easier for the NLP system to interpret. From there, the system applies algorithms to the text in order to interpret it. The two primary algorithms used in NLP are rule-based systems , which interpret text based on predefined grammatical rules, and machine learning models , which use statistical methods and “learn” over time by being fed training data. Despite being a major technological advancement — one that stands at the crossroads of computer science and linguistics — NLP is...
Machine learning is a method of data analysis that automates analytical model building. It learns from the data and predicts the output. It originated from pattern recognition and theoretical prediction such that computers can learn from the data. They learn from previous computations to produce reliable, repeatable decisions and results. Power consumption due to high computation has drastically decreased the performance of algorithms. To overcome this problem this various accelerators like FPGA and GPU are used. The 5 level strategy was used to program the FPGA which also becomes easier for the developer to understand and master the language. The performance of the GPU and FPGA were compared by comparing the normalized operation per cycle or each pipeline, and effective parallel factor (effective para factor), to compare the performance of GPU and FPGA accelerator designs respectively. It resulted in concluding the todays FPGA perform better tha...